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author | 2016-12-05 10:17:11 -0800 | |
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committer | 2016-12-05 10:27:02 -0800 | |
commit | 9f0a3b65da1e86fbc7bcb6db8ff9958153855cc1 (patch) | |
tree | 03a9f2157c191266ab86cf264d68c903beca4524 /tensorflow/python/ops/parsing_ops.py | |
parent | a5b2298d042f228aed02c31fac6220b61da9d876 (diff) |
Part 2c of renaming SparseTensor.shape -> SparseTensor.dense_shape
Change: 141066682
Diffstat (limited to 'tensorflow/python/ops/parsing_ops.py')
-rw-r--r-- | tensorflow/python/ops/parsing_ops.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/python/ops/parsing_ops.py b/tensorflow/python/ops/parsing_ops.py index 5b451416a3..0d52004a55 100644 --- a/tensorflow/python/ops/parsing_ops.py +++ b/tensorflow/python/ops/parsing_ops.py @@ -705,7 +705,7 @@ def parse_single_sequence_example( `sequence_features` contains `VarLenFeature` and `FixedLenSequenceFeature` objects. Each `VarLenFeature` is mapped to a `SparseTensor`, and each `FixedLenSequenceFeature` is mapped to a `Tensor`, each of the specified type. - The shape will be `(T,) + df.shape` for `FixedLenSequenceFeature` `df`, where + The shape will be `(T,) + df.dense_shape` for `FixedLenSequenceFeature` `df`, where `T` is the length of the associated `FeatureList` in the `SequenceExample`. For instance, `FixedLenSequenceFeature([])` yields a scalar 1-D `Tensor` of static shape `[None]` and dynamic shape `[T]`, while |